Function Reference

Canned Estimators
`linear_regressor` `linear_classifier`	Construct a Linear Estimator
`dnn_regressor` `dnn_classifier`	Deep Neural Networks
`dnn_linear_combined_regressor` `dnn_linear_combined_classifier`	Linear Combined Deep Neural Networks
Estimator Methods
`train`	Train an Estimator
`predict`	Generate Predictions with an Estimator
`evaluate`	Evaluate an Estimator
`export_savedmodel`	Save an Estimator
Input Function
`input_fn`	Construct an Input Function
`numpy_input_fn`	Construct Input Function Containing Python Dictionaries of Numpy Arrays
Feature Columns
`feature_columns`	Feature Columns
`input_layer`	Construct an Input Layer
`column_categorical_with_vocabulary_list`	Construct a Categorical Column with In-Memory Vocabulary
`column_categorical_with_vocabulary_file`	Construct a Categorical Column with a Vocabulary File
`column_categorical_with_identity`	Construct a Categorical Column that Returns Identity Values
`column_categorical_with_hash_bucket`	Represents Sparse Feature where IDs are set by Hashing
`column_categorical_weighted`	Construct a Weighted Categorical Column
`column_indicator`	Represents Multi-Hot Representation of Given Categorical Column
`column_numeric`	Construct a Real-Valued Column
`column_embedding`	Construct a Dense Column
`column_crossed`	Construct a Crossed Column
`column_bucketized`	Construct a Bucketized Column
Custom Estimators
`estimator`	Construct a Custom Estimator
`estimator_spec`	Define an Estimator Specification
Run Hooks
`hook_checkpoint_saver`	Saves Checkpoints Every N Steps or Seconds
`hook_global_step_waiter`	Delay Execution until Global Step Reaches to `wait_until_step`.
`hook_history_saver`	A Custom Run Hook for Saving Metrics History
`hook_logging_tensor`	Prints Given Tensors Every N Local Steps, Every N Seconds, or at End
`hook_nan_tensor`	NaN Loss Monitor
`hook_progress_bar`	A Custom Run Hook to Create and Update Progress Bar During Training or Evaluation
`hook_step_counter`	Steps per Second Monitor
`hook_stop_at_step`	Monitor to Request Stop at a Specified Step
`hook_summary_saver`	Saves Summaries Every N Steps
`session_run_hook`	Create Custom Session Run Hooks
Run Configuration
`run_config`	Run Configuration
`task_type`	Task Types
Estimator Keys
`mode_keys`	Canonical Mode Keys
`metric_keys`	Canonical Metric Keys
`prediction_keys`	Canonical Model Prediction Keys
Parsing Utilities
`regressor_parse_example_spec`	Generates Parsing Spec for TensorFlow Example to be Used with Regressors
`classifier_parse_example_spec`	Generates Parsing Spec for TensorFlow Example to be Used with Classifiers
Other Utilities
`graph_keys`	Standard Names to Use for Graph Collections
`latest_checkpoint`	Get the Latest Checkpoint in a Checkpoint Directory

Function Reference

Canned Estimators

Estimator Methods

Input Function

Feature Columns

Custom Estimators

Run Hooks

Run Configuration

Estimator Keys

Parsing Utilities

Other Utilities